Daniel Maturana

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 6 papers; trusts 425 researchers and is trusted by 1,947 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #907 of 21,575 by trust here, #1,637 by citations
• Aerospace Engineering — 36 citations into it; #39 of 6,421 by trust here, #159 by citations
• Artificial Intelligence — 12 citations into it
• 3D Vision & Pose — 8 citations into it; #246 of 689 by trust here, #493 by citations
• Geology — 7 citations into it; #171 of 687 by trust here, #105 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Environmental Engineering — 5 citations into it

Whom Daniel Maturana trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Sebastian Thrun
5. Karen Simonyan
6. Ilya Sutskever
7. Ross B. Girshick
8. Yoshua Bengio
9. Andrew Zisserman
10. Yann LeCun

Who trusts Daniel Maturana overall

1. Bo Li
2. Yin Zhou
3. Charles Ruizhongtai Qi
4. Lei Tai
5. Rohit Girdhar
6. Jing Huang
7. Hao Su
8. Benjamin Graham
9. Binh-Son Hua
10. Vishwanath A. Sindagi

Papers from Daniel Maturana's perspective

Ordered by how strongly the researchers Daniel Maturana trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VoxNet: A 3D Convolutional Neural Network for real-time object recognition (2015) — 3,723 citations
• Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models (2014) — 553 citations
• Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera (2011) — 725 citations
• 3D Convolutional Neural Networks for landing zone detection from LiDAR (2015) — 217 citations
• Real-time 3D scene layout from a single image using Convolutional Neural Networks (2016) — 36 citations
• Lasagne: First release. (2015)